Reactive Power Optimization of a Distribution System Based on Scene Matching and Deep Belief Network

Reactive Power Optimization of a Distribution System Based on Scene Matching and Deep Belief Network

With a large number of distributed generators (DGs) and electrical vehicles (EVs) integrated into the power distribution system, the complexity of distribution system operation is increased, which arises to higher requirements for online reactive power optimization. This paper proposes two methods f...

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Bibliographic Details
Main Authors: Junyong Wu, Chen Shi, Meiyang Shao, Ran An, Xiaowen Zhu, Xing Huang, Rong Cai
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Energies
Subjects:
Deep Belief Network (DBN)
scene matching
Random Matrix (RM)
active distribution network
reactive power optimization
data-driven
deep learning
Online Access:https://www.mdpi.com/1996-1073/12/17/3246

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